Linear Algebra

2025 Fall
#29615
EECS 16A 111D - DIS 111D offered through Electrical Engineering and Computer Sciences

Foundations of Signals, Dynamical Systems, and Information Processing

Aug 27, 2025 - Dec 12, 2025
Tu, Th
10:00 am - 10:59 am
Anthro/Art Practice Bldg 155
Class #:29615
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
EECS 16A - DIS 111D Foundations of Signals, Dynamical Systems, and Information Processing more detail
This course offers an introduction to signals, systems, optimization, controls, and machine learning, all grounded in linear algebraic techniques. After a brief review of linear algebra, students will delve into topics such as signal processing, linear systems, feedback control, optimization methods, and foundational machine learning algorithms. Emphasizing practical applications, the course prepares EECS majors for advanced study by connecting mathematical concepts to real-world engineering problems.
2025 Fall
#29614
EECS 16A 110D - DIS 110D offered through Electrical Engineering and Computer Sciences

Foundations of Signals, Dynamical Systems, and Information Processing

Aug 27, 2025 - Dec 12, 2025
Tu, Th
09:00 am - 09:59 am
Etcheverry 3113
Class #:29614
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
EECS 16A - DIS 110D Foundations of Signals, Dynamical Systems, and Information Processing more detail
This course offers an introduction to signals, systems, optimization, controls, and machine learning, all grounded in linear algebraic techniques. After a brief review of linear algebra, students will delve into topics such as signal processing, linear systems, feedback control, optimization methods, and foundational machine learning algorithms. Emphasizing practical applications, the course prepares EECS majors for advanced study by connecting mathematical concepts to real-world engineering problems.
2025 Fall
#29610
EECS 16A 106D - DIS 106D offered through Electrical Engineering and Computer Sciences

Foundations of Signals, Dynamical Systems, and Information Processing

Aug 27, 2025 - Dec 12, 2025
Tu, Th
02:00 pm - 02:59 pm
Giannini 141
Class #:29610
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
EECS 16A - DIS 106D Foundations of Signals, Dynamical Systems, and Information Processing more detail
This course offers an introduction to signals, systems, optimization, controls, and machine learning, all grounded in linear algebraic techniques. After a brief review of linear algebra, students will delve into topics such as signal processing, linear systems, feedback control, optimization methods, and foundational machine learning algorithms. Emphasizing practical applications, the course prepares EECS majors for advanced study by connecting mathematical concepts to real-world engineering problems.
2025 Fall
#29609
EECS 16A 105D - DIS 105D offered through Electrical Engineering and Computer Sciences

Foundations of Signals, Dynamical Systems, and Information Processing

Aug 27, 2025 - Dec 12, 2025
Tu, Th
04:00 pm - 04:59 pm
Hearst Gym 242
Class #:29609
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
EECS 16A - DIS 105D Foundations of Signals, Dynamical Systems, and Information Processing more detail
This course offers an introduction to signals, systems, optimization, controls, and machine learning, all grounded in linear algebraic techniques. After a brief review of linear algebra, students will delve into topics such as signal processing, linear systems, feedback control, optimization methods, and foundational machine learning algorithms. Emphasizing practical applications, the course prepares EECS majors for advanced study by connecting mathematical concepts to real-world engineering problems.
2025 Fall
#29607
EECS 16A 103D - DIS 103D offered through Electrical Engineering and Computer Sciences

Foundations of Signals, Dynamical Systems, and Information Processing

Aug 27, 2025 - Dec 12, 2025
Tu, Th
11:00 am - 11:59 am
Evans 9
Class #:29607
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
EECS 16A - DIS 103D Foundations of Signals, Dynamical Systems, and Information Processing more detail
This course offers an introduction to signals, systems, optimization, controls, and machine learning, all grounded in linear algebraic techniques. After a brief review of linear algebra, students will delve into topics such as signal processing, linear systems, feedback control, optimization methods, and foundational machine learning algorithms. Emphasizing practical applications, the course prepares EECS majors for advanced study by connecting mathematical concepts to real-world engineering problems.
2025 Fall
#29606
EECS 16A 102D - DIS 102D offered through Electrical Engineering and Computer Sciences

Foundations of Signals, Dynamical Systems, and Information Processing

Aug 27, 2025 - Dec 12, 2025
Tu, Th
10:00 am - 10:59 am
Evans 9
Class #:29606
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
EECS 16A - DIS 102D Foundations of Signals, Dynamical Systems, and Information Processing more detail
This course offers an introduction to signals, systems, optimization, controls, and machine learning, all grounded in linear algebraic techniques. After a brief review of linear algebra, students will delve into topics such as signal processing, linear systems, feedback control, optimization methods, and foundational machine learning algorithms. Emphasizing practical applications, the course prepares EECS majors for advanced study by connecting mathematical concepts to real-world engineering problems.
2025 Fall
#29605
EECS 16A 101D - DIS 101D offered through Electrical Engineering and Computer Sciences

Foundations of Signals, Dynamical Systems, and Information Processing

Aug 27, 2025 - Dec 12, 2025
Tu, Th
09:00 am - 09:59 am
Haviland 12
Class #:29605
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
EECS 16A - DIS 101D Foundations of Signals, Dynamical Systems, and Information Processing more detail
This course offers an introduction to signals, systems, optimization, controls, and machine learning, all grounded in linear algebraic techniques. After a brief review of linear algebra, students will delve into topics such as signal processing, linear systems, feedback control, optimization methods, and foundational machine learning algorithms. Emphasizing practical applications, the course prepares EECS majors for advanced study by connecting mathematical concepts to real-world engineering problems.
2025 Fall
#29601
EECS 16A 116L - LAB 116L offered through Electrical Engineering and Computer Sciences

Foundations of Signals, Dynamical Systems, and Information Processing

Aug 27, 2025 - Dec 12, 2025
Fr
11:00 am - 01:59 pm
Cory 140
Class #:29601
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
EECS 16A - LAB 116L Foundations of Signals, Dynamical Systems, and Information Processing more detail
This course offers an introduction to signals, systems, optimization, controls, and machine learning, all grounded in linear algebraic techniques. After a brief review of linear algebra, students will delve into topics such as signal processing, linear systems, feedback control, optimization methods, and foundational machine learning algorithms. Emphasizing practical applications, the course prepares EECS majors for advanced study by connecting mathematical concepts to real-world engineering problems.
2025 Fall
#29598
EECS 16A 113L - LAB 113L offered through Electrical Engineering and Computer Sciences

Foundations of Signals, Dynamical Systems, and Information Processing

Aug 27, 2025 - Dec 12, 2025
Th
02:00 pm - 04:59 pm
Cory 140
Class #:29598
Units:4

Instruction Mode: In-Person Instruction

Open Seats

48 Unreserved Seats

EECS 16A - LAB 113L Foundations of Signals, Dynamical Systems, and Information Processing more detail
This course offers an introduction to signals, systems, optimization, controls, and machine learning, all grounded in linear algebraic techniques. After a brief review of linear algebra, students will delve into topics such as signal processing, linear systems, feedback control, optimization methods, and foundational machine learning algorithms. Emphasizing practical applications, the course prepares EECS majors for advanced study by connecting mathematical concepts to real-world engineering problems.
2025 Fall
#29596
EECS 16A 110L - LAB 110L offered through Electrical Engineering and Computer Sciences

Foundations of Signals, Dynamical Systems, and Information Processing

Aug 27, 2025 - Dec 12, 2025
We
02:00 pm - 04:59 pm
Cory 140
Class #:29596
Units:4

Instruction Mode: In-Person Instruction

Open Seats

48 Unreserved Seats

EECS 16A - LAB 110L Foundations of Signals, Dynamical Systems, and Information Processing more detail
This course offers an introduction to signals, systems, optimization, controls, and machine learning, all grounded in linear algebraic techniques. After a brief review of linear algebra, students will delve into topics such as signal processing, linear systems, feedback control, optimization methods, and foundational machine learning algorithms. Emphasizing practical applications, the course prepares EECS majors for advanced study by connecting mathematical concepts to real-world engineering problems.
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